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Record W7003691873

Beyond the state

2015· book· en· W7003691873 on OpenAlexfundno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2015
Typebook
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
FundersJesus College, University of OxfordJesus College, University of CambridgeExecutive Agency for Health and ConsumersUniversity of OxfordBritish Institute in Eastern AfricaUniversity of CambridgeUniversity of Dar es SalaamBritish Medical AssociationYork UniversityWellcome TrustUniversity of Texas at AustinSyracuse UniversityMcMaster UniversityCenter for Agroforestry, University of MissouriWorld Health Organization
KeywordsColonialismEliteGovernment (linguistics)State (computer science)Service (business)Diversity (politics)Health services
DOInot available

Abstract

fetched live from OpenAlex

The Colonial Medical Service was the personnel section of the Colonial Service, employing the doctors who tended to the health of both the colonial staff and the local populations of the British Empire. Although the Service represented the pinnacle of an elite government agency, its reach in practice stretched far beyond the state, with the members of the African service collaborating, formally and informally, with a range of other non-governmental groups. This collection of essays on the Colonial Medical Service of Africa illustrates the diversity and active collaborations to be found in the untidy reality of government medical provision. The authors present important case studies covering former British colonial dependencies in Africa, including Kenya, Malawi, Nigeria, Tanzania, Uganda and Zanzibar. They reveal many new insights into the enactments of colonial policy and the ways in which colonial doctors negotiated the day-to-day reality during the height of imperial rule in Africa.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0040.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1830.032

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.073
GPT teacher head0.365
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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